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Record W2159805234 · doi:10.1177/0093854811404120

Fear and Loathing in Psychopaths: a Meta-Analytic Investigation of the Facial Affect Recognition Deficit

2011· article· en· W2159805234 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCriminal Justice and Behavior · 2011
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversity of British ColumbiaDalhousie University
Fundersnot available
KeywordsPsychopathyPsychologyAffect (linguistics)Facial expressionCognitive psychologyAmygdalaEmotion recognitionPopulationMeta-analysisDevelopmental psychologyPersonalitySocial psychologyNeuroscienceMedicineCommunication

Abstract

fetched live from OpenAlex

Several studies have identified an association between psychopathy and deficits in facial affect recognition. Although this finding is widely seen as providing strong evidence for amygdala dysfunction in psychopaths, this interpretation is challenged by studies finding no recognition impairments. An alternative hypothesis predicts that recognition deficits are dynamic and are influenced by verbal processing demands. These competing hypotheses were tested via a meta-analysis of 22 investigations of psychopathy ( N = 1,387 participants) using the facial affect recognition paradigm. Results indicated that studies entailing a verbal response style found larger recognition deficits for emotions processed by the left amygdala. The findings of this review offer an alternative to currently popular theories of psychopathy and suggest that future research should consider response style when investigating facial affect recognition deficits in this population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.697

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.216
GPT teacher head0.350
Teacher spread0.134 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it